Videographer
About the role
Founding Marketing & Video Editor role at Human Archive, a robotics data lab. Own end-to-end content creation to drive viral growth and scale data collection operations in India. Filming real workers and environments, then turning footage into professional short-form and long-form content for multiple platforms with close collaboration with CEO/COO.
Responsibilities
- Edit and produce high-quality short- and long-form videos for Instagram, WhatsApp, LinkedIn, and X
- Create content that is visually professional, emotionally engaging, technically credible, and viral
- Build and iterate viral content loops that drive inbound interest from data collection partners
- Rapidly test, learn, and iterate based on performance and engagement metrics
- Shape and evolve Human Archive’s public narrative in India
Qualifications
- A strong online presence with a proven track record of building and growing an audience
- Experience creating content that builds trust with operators, business owners, or enterprise partners
- Strong video filming and editing skills (Premiere Pro, Final Cut, DaVinci, CapCut, etc.)
- Deep intuition for internet content in India and what actually goes viral
- Comfort filming in real-world, messy, non-studio environments
- Ability to move fast, experiment aggressively, and iterate without hand-holding
- Based in India and willing to travel often
Skills
About Human Archive
Multimodal data provider for robotics and world modeling
We’re archiving the physical world for embodied intelligence by collecting and labeling aligned multimodal data. To build dexterous and perceptive robots that generalize robustly, we need massive amounts of real-world data across multiple modalities and environments. We have thought deeply about the fine line between biomimicry and its application to humanoid systems. Based on this research, we design and deploy custom hardware across residential and manufacturing settings. We then post-process the resulting data through internal QA, anonymization, and annotation pipelines to deliver diverse, high-fidelity datasets at scale to frontier labs developing robotics foundation models and general-purpose robotics companies. We believe we are at a historic inflection point, with a unique opportunity to leave a dent on humanity and reshape physical labor markets forever. That's why our team dropped out of Stanford and Berkeley and moved to Asia to collect the world’s largest annotated multimodal dataset.
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